ReviewACS omega2023
Application of Shape Memory and Self-Healable Polymers/Composites in the Biomedical Field: A Review.
Review in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- From Furfural to Reprocessable Thermosets: Diels-Alder Monomers for Dynamic Polyurethane Networks.ChemSusChem · 2026Review
- Toward 4D Biomaterials: Comparing Electrospun and 3D-Printed Shape-Memory Scaffolds.Pharmaceutics · 2026Article
- Thermomechanical Tailoring of a DLP-Printable Shape Memory Polyurethane for Vascular Graft Applications.Materials (Basel, Switzerland) · 2026Article
- Four-Dimensional Printing of Shape Memory Polymers for Biomedical Applications: Advances in DLP and SLA Manufacturing.Polymers · 2025Review
- 3D Printing of Shape Memory Resin for Orthodontic Aligners with Green Synthesized Antimicrobial ZnO Nanoparticles Coatings: Toward Bioactive Devices.Bioengineering (Basel, Switzerland) · 2025Article
- Article
- Recent advances in shape memory scaffolds and regenerative outcomes.Biomedical engineering letters · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Shape memory-assisted self-healing polymers have drawn attention over the past few years owing to their interdisciplinary and wide range of applications. Self-healing and shape memory are two approaches used to improve the applicability of polymers in the biomedical field. Combining both these approaches in a polymer composite opens new possibilities for its use in biomedical applications, such as the "close then heal" concept, which uses the shape memory capabilities of polymers to bring injured sections together to promote autonomous healing. This review focuses on using shape memory-assisted self-healing approaches along with their respective affecting factors for biomedical applications such as tissue engineering, drug delivery, biomaterial-inks, and 4D printed scaffolds, soft actuators, wearable electronics, etc. In addition, quantification of self-healing and shape memory efficiency is also discussed. The challenges and prospects of these polymers for biomedical applications have been summarized.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.